Correcting batch effects in large-scale multiomics studies using a reference-material-based ratio method

Abstract

Multiomics measurements are prone to batch effects, which can be effectively corrected using ratio-based scaling of the multiomics data. Our study lays the foundation for eliminating batch effects at a ratio scale.